Research author
Andreas Maier
19 AI research papers in the One9Founders library, with summaries and links to original sources.
Papers by Andreas Maier
Toward Foundation Detection Models via Example-Based Grounding in EM-DETR
Sheethal Bhat, Bogdan Georgescu, Awais Mansoor, et al.
How Reliable Is Individualized Functional-Network Attribution in Resting-State fMRI Cognitive Prediction in ADNI?
Sheethal Bhat, Mahfuzur Rahman Chowdhury, Imam Ahmed Shaik, et al.
Distributed Predictive Flocking for a Swarm of Miniature Vibration-Driven Robots in a Confined Arena
Prajol Shrestha, Siddhant Mohapatra, Filip Novkoski, et al.
Characterizing Cross-Relay Generalization Failure in Machine Learning-Based Power System Protection
Nithin Pradeep Nadayil Kizhakkethil, Julian Oelhaf, Christian Bergler, et al.
EvEMTBench: An Open Benchmark for Machine Learning in Power System Protection
Julian Oelhaf, Georg Kordowich, Christian Bergler, et al.
Offline Reinforcement Learning for Distribution-Grid Protection
Julian Oelhaf, Alexander Luce, Christian Bergler, et al.
Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning
Simon Süwer, Julian Klemm, Elisa Acitelli, et al.
Peak-Aware Short-Term Load Forecasting Across Distribution Grid Aggregation Levels
Souhardya Chattopadhyay, Julian Oelhaf, Antonia Schoening, et al.
FRAME: separating sampling variation from representational cause in medical imaging fairness
Mahshad Lotfinia, Daniel Truhn, Andreas Maier, et al.
PANDA - Prototype-Anchored Alignment for Partially Unpaired Multimodal Learning, with Applications to Alzheimers MRI and TCGA Pathology
Sheethal Bhat, Mahfuzur Rahman Chowdhury, Paula Andrea Perez-Toro, et al.
A Standardized Framework for Machine Learning in Power System Protection
Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro, et al.
Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis
Souranil Kahali, Rituparna Bose, Abner Hernandez, et al.
Structured Phonological Representations for Audio-Articulatory rtMRI Speech Classification
Abner Hernandez, Tomás Arias Vergara, Daiqi Liu, et al.
Re-thinking Mammography Transfer Learning: The Dataset-Informed Transfer Learning (DITL) Framework for Breast Cancer Screening and Lesion Diagnosis
Adarsh Bhandary Panambur, Siming Bayer, Andreas Maier
Safety and accuracy follow different scaling laws in clinical large language models
Sebastian Wind, Tri-Thien Nguyen, Jeta Sopa, et al.
Beating the Style Detector: Three Hours of Agentic Research on the AI-Text Arms Race
Andreas Maier, Moritz Zaiss, Siming Bayer
ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification
Florian Kittler, Sheethal Bhat, Andreas Maier
Learning to Concatenate Quantum Codes
Nico Meyer, Christopher Mutschler, Dominik Seuß, et al.
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
Abner Hernandez, Eunjung Yeo, Kwanghee Choi, et al.